Gain In-demand Cloud, Data, and Machine Learning Skills with the Full Google Cloud Suite of Learning Programs on Coursera

The fields of data science and data engineering are increasingly in demand as more enterprises engage the road to digital transformation. As a result, an ever increasing number of cloud computing professionals are sought after by recruiters and hiring managers. There are currently thousands of open jobs for cloud architects, data engineers, and cloud application developers.

Those looking to take advantage of this rising demand should look for quality training solutions in order to kick start their career objectives. But time is of the essence, the jobs are here now, so it’s important to choose the training solution that will result in the most benefit.

Online learning leader, Coursera, now offers the full Google Cloud suite of programs on their learning platform, taught by the experts at Google.. Learners can enroll in Google Cloud Specializations to access top-quality could training, with hands-on labs and practical experience. All courses include free hands-on labs to provide practical experience. Enroll today and your first month of learning is free.

The Machine Learning with TensorFlow on Google Cloud Platform Specialization explains why machine learning is important and shows how to build real-world machine learning models from the perspective of in-depth projects. The 5 courses in this specialization provide the foundation for learning how to build machine learning models that give any organization a competitive edge.

The Architecting with Google Cloud Platform Specialization is designed for IT professionals who implement, deploy, migrate, and maintain applications in the cloud. Learners combine real world experience with this Specialization to sharpen important skills for the Google Cloud Certified – Professional Cloud Architect exam. The 6 courses in this Specialization introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Cloud computing is poised to become the most disruptive force in the tech industry — more than $1 trillion in IT spending will be affected by the shift to the cloud.

Courses:

Google Cloud Platform Fundamentals: Core Infrastructure

Essential Cloud Infrastructure: Foundation

Essential Cloud Infrastructure: Core Services

Elastic Cloud Infrastructure: Scaling and Automation

Elastic Cloud Infrastructure: Containers and Services

Reliable Cloud Infrastructure: Design and Process

In addition to the Specialization series, there is Getting Started with Kubernetes Engine. This one-week, accelerated course equips learners to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.

Become a Data Engineer

The Data Engineering on Google Cloud Platform Specialization is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Learners combine real world experience with this Specialization to prepare for the Google Cloud Certified – Professional Data Engineer exam. The 5 courses in this Specialization provide participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. According to a study from Forrester, Data Engineering is a crucial new field that bridges gaps between data, insight, and action. Launch a new Data Engineering career by learning how to help organizations manage massive data sets and overcome data disconnects.

The From Data to Insights with Google Cloud Platform Specialization is a 4 course accelerated series designed to demonstrate how to derive insights through data analysis and visualization. The courses feature interactive scenarios where the learner will explore, mine, load, visualize, and extract insights from diverse BigQuery data sets.

Courses:

Exploring ​and ​Preparing ​your ​Data with BigQuery

Creating New BigQuery Datasets and Visualizing Insights

Achieving Advanced Insights with BigQuery

Applying Machine Learning to your Data with GCP

Become an Application Developer

The Developing Applications with Google Cloud Platform Specialization is designed to show application developers how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through 4 courses and a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Job market demand for app developers is growing at a rapid pace. Developers with cloud skills will become ever more sought-after as the cloud speeds up the app development cycle and reduces time spent on tooling and standing up infrastructure.

Resource Links:

Industry Perspectives

In this special guest feature, Amnon Drori, Co-founder and CEO of Octopai, discusses how for many organizations, GDPR may be the biggest data challenge they have ever faced – but it also provides organizations with an opportunity to truly own their data. By implementing a smart system that will ensure that they are able to find the data in their systems at will, organizations will ensure that they are GDPR-compliant – and have the opportunity to utilize all their data to help their organizations run more efficiently and profitably. [Read More...]

White Papers

In the healthcare sector, clinicians are increasingly using mobile devices such as smartphones, tablets, and personal laptops to access patient records and more. Many hospitals have turned to virtualization and virtual GPU technology to offer greater mobility, security, and IT manageability. Download the report from HPE that explores how virtual GPU technology is modernizing healthcare.